

import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_			      =      logging.get_logger(__name__)

lowerCAmelCase_			      =      {'''vocab_file''': '''sentencepiece.model'''}

lowerCAmelCase_			      =      {
    '''vocab_file''': {
        '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/sentencepiece.model''',
    },
}

lowerCAmelCase_			      =      {
    '''google/rembert''': 2_56,
}





class       snake_case_  (						__A   ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE	:  Tuple		     =							VOCAB_FILES_NAMES
			SCREAMING_SNAKE_CASE	:  str		     =							PRETRAINED_VOCAB_FILES_MAP
			SCREAMING_SNAKE_CASE	:  int		     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







			def __init__(	self					:							Tuple				,  _UpperCamelCase					:							Any				,  _UpperCamelCase					:							Tuple=False				,  _UpperCamelCase					:							Dict=True				,  _UpperCamelCase					:							Dict=True				,  _UpperCamelCase					:							Tuple="[CLS]"				,  _UpperCamelCase					:							Dict="[SEP]"				,  _UpperCamelCase					:							Tuple="[UNK]"				,  _UpperCamelCase					:							List[str]="[SEP]"				,  _UpperCamelCase					:							Tuple="[PAD]"				,  _UpperCamelCase					:							Optional[Any]="[CLS]"				,  _UpperCamelCase					:							List[str]="[MASK]"				,  **_UpperCamelCase					:							List[Any]				,  ) ->Tuple:
									super().__init__(
									    do_lower_case=_UpperCamelCase				,  remove_space=_UpperCamelCase				,  keep_accents=_UpperCamelCase				,  bos_token=_UpperCamelCase				,  eos_token=_UpperCamelCase				,  unk_token=_UpperCamelCase				,  sep_token=_UpperCamelCase				,  pad_token=_UpperCamelCase				,  cls_token=_UpperCamelCase				,  mask_token=_UpperCamelCase				,  **_UpperCamelCase				,  )

									snake_case_  =      do_lower_case
									snake_case_  =      remove_space
									snake_case_  =      keep_accents
									snake_case_  =      vocab_file

									snake_case_  =      spm.SentencePieceProcessor()
									self.sp_model.Load(_UpperCamelCase				)







			@property
			def 							snake_case__(	self					:							List[Any]				) ->Dict:
									return len(self.sp_model				)







			def 							snake_case__(	self					:							Tuple				) ->Tuple:
									snake_case_  =      {self.convert_ids_to_tokens(_UpperCamelCase				): i for i in range(self.vocab_size				)}
									vocab.update(self.added_tokens_encoder				)
									return vocab







			def __getstate__(	self					:							Dict				) ->Optional[Any]:
									snake_case_  =      self.__dict__.copy()
									snake_case_  =      None
									return state







			def __setstate__(	self					:							Any				,  _UpperCamelCase					:							List[Any]				) ->Optional[Any]:
									snake_case_  =      d
									snake_case_  =      spm.SentencePieceProcessor()
									self.sp_model.Load(self.vocab_file				)







			def 							snake_case__(	self					:							Tuple				,  _UpperCamelCase					:							Any				,  _UpperCamelCase					:							Any=False				) ->List[Any]:
									snake_case_  =      self.sp_model.EncodeAsPieces(_UpperCamelCase				)
									return pieces







			def 							snake_case__(	self					:							str				,  _UpperCamelCase					:							Optional[int]				) ->Tuple:
									return self.sp_model.PieceToId(_UpperCamelCase				)







			def 							snake_case__(	self					:							Tuple				,  _UpperCamelCase					:							int				) ->List[str]:
									return self.sp_model.IdToPiece(_UpperCamelCase				)







			def 							snake_case__(	self					:							Union[str, Any]				,  _UpperCamelCase					:							Dict				) ->Dict:
									snake_case_  =      self.sp_model.decode_pieces(_UpperCamelCase				)
									return out_string







			def 							snake_case__(	self					:							Any				,  _UpperCamelCase					:							List[int]				,  _UpperCamelCase					:							Optional[List[int]] = None				) ->List[int]:
									snake_case_  =      [self.sep_token_id]
									snake_case_  =      [self.cls_token_id]
									if token_ids_a is None:
															return cls + token_ids_a + sep
									return cls + token_ids_a + sep + token_ids_a + sep







			def 							snake_case__(	self					:							Tuple				,  _UpperCamelCase					:							List[int]				,  _UpperCamelCase					:							Optional[List[int]] = None				,  _UpperCamelCase					:							bool = False				) ->List[int]:

									if already_has_special_tokens:
															if token_ids_a is not None:
																					raise ValueError(
																					    '''You should not supply a second sequence if the provided sequence of '''
																					    '''ids is already formatted with special tokens for the model.'''				)
															return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

									if token_ids_a is not None:
															return [1] + ([0] * len(_UpperCamelCase				)) + [1] + ([0] * len(_UpperCamelCase				)) + [1]
									return [1] + ([0] * len(_UpperCamelCase				)) + [1]







			def 							snake_case__(	self					:							List[Any]				,  _UpperCamelCase					:							List[int]				,  _UpperCamelCase					:							Optional[List[int]] = None				) ->List[int]:
									snake_case_  =      [self.sep_token_id]
									snake_case_  =      [self.cls_token_id]

									if token_ids_a is None:
															return len(cls + token_ids_a + sep				) * [0]
									return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]







			def 							snake_case__(	self					:							List[str]				,  _UpperCamelCase					:							str				,  _UpperCamelCase					:							Optional[str] = None				) ->Tuple[str]:
									if not os.path.isdir(_UpperCamelCase				):
															logger.error('''Vocabulary path ({}) should be a directory'''.format(_UpperCamelCase				)				)
															return
									snake_case_  =      os.path.join(
									    _UpperCamelCase				,  (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

									if os.path.abspath(self.vocab_file				) != os.path.abspath(_UpperCamelCase				):
															copyfile(self.vocab_file				,  _UpperCamelCase				)

									return (out_vocab_file,)
"""simple docstring"""


a				=range(2, 20 + 1)
a				=[10**k for k in range(ks[-1] + 1)]
a				={}





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase							)				->   Any:




						'''simple docstring'''



						lowerCamelCase__   =sum(a_i[j] for j in range(__lowerCAmelCase  ,       len(__lowerCAmelCase							)							)							)
						lowerCamelCase__   =sum(a_i[j] * base[j] for j in range(min(len(__lowerCAmelCase							)  ,       __lowerCAmelCase							)							)							)

						lowerCamelCase__   , lowerCamelCase__   =0, 0
						lowerCamelCase__   =n - i

						lowerCamelCase__   =memo.get(__lowerCAmelCase							)

						if sub_memo is not None:
												lowerCamelCase__   =sub_memo.get(__lowerCAmelCase							)

												if jumps is not None and len(__lowerCAmelCase							) > 0:
																		# find and make the largest jump without going over
																		lowerCamelCase__   =-1
																		for _k in range(len(__lowerCAmelCase							) - 1  ,       -1  ,       -1							):
																								if jumps[_k][2] <= k and jumps[_k][1] <= max_dn:
																														lowerCamelCase__   =_k
																														break

																		if max_jump >= 0:
																								lowerCamelCase__   , lowerCamelCase__   , lowerCamelCase__   =jumps[max_jump]
																								# since the difference between jumps is cached, add c
																								lowerCamelCase__   =diff + c
																								for j in range(min(__lowerCAmelCase  ,       len(__lowerCAmelCase							)							)							):
																														lowerCamelCase__   , lowerCamelCase__   =divmod(__lowerCAmelCase  ,       10							)
																								if new_c > 0:
																														add(__lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase							)

												else:
																		lowerCamelCase__   =[]
						else:
												lowerCamelCase__   ={c: []}
												lowerCamelCase__   =sub_memo

						if dn >= max_dn or c + diff >= base[k]:
												return diff, dn

						if k > ks[0]:
												while True:
																		# keep doing smaller jumps
																		lowerCamelCase__   , lowerCamelCase__   =next_term(__lowerCAmelCase  ,       k - 1  ,       i + dn  ,       __lowerCAmelCase							)
																		diff += _diff
																		dn += terms_jumped

																		if dn >= max_dn or c + diff >= base[k]:
																								break
						else:
												# would be too small a jump, just compute sequential terms instead
												lowerCamelCase__   , lowerCamelCase__   =compute(__lowerCAmelCase  ,       __lowerCAmelCase  ,       i + dn  ,       __lowerCAmelCase							)
												diff += _diff
												dn += terms_jumped

						lowerCamelCase__   =sub_memo[c]

						# keep jumps sorted by # of terms skipped
						lowerCamelCase__   =0
						while j < len(__lowerCAmelCase							):
												if jumps[j][1] > dn:
																		break
												j += 1

						# cache the jump for this value digitsum(b) and c
						sub_memo[c].insert(__lowerCAmelCase  ,       (diff, dn, k)							)
						return (diff, dn)





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase							)				->   List[str]:




						'''simple docstring'''



						if i >= n:
												return 0, i
						if k > len(__lowerCAmelCase							):
												a_i.extend([0 for _ in range(k - len(__lowerCAmelCase							)							)]							)

						# note: a_i -> b * 10^k + c
						# ds_b -> digitsum(b)
						# ds_c -> digitsum(c)
						lowerCamelCase__   =i
						lowerCamelCase__   , lowerCamelCase__   , lowerCamelCase__   =0, 0, 0
						for j in range(len(__lowerCAmelCase							)							):
												if j >= k:
																		ds_b += a_i[j]
												else:
																		ds_c += a_i[j]

						while i < n:
												i += 1
												lowerCamelCase__   =ds_c + ds_b
												diff += addend
												lowerCamelCase__   =0
												for j in range(__lowerCAmelCase							):
																		lowerCamelCase__   =a_i[j] + addend
																		lowerCamelCase__   , lowerCamelCase__   =divmod(__lowerCAmelCase  ,       10							)

																		ds_c += a_i[j]

												if addend > 0:
																		break

						if addend > 0:
												add(__lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase							)
						return diff, i - start_i





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase							)				->   int:




						'''simple docstring'''



						for j in range(__lowerCAmelCase  ,       len(__lowerCAmelCase							)							):
												lowerCamelCase__   =digits[j] + addend
												if s >= 10:
																		lowerCamelCase__   , lowerCamelCase__   =divmod(__lowerCAmelCase  ,       10							)
																		lowerCamelCase__   =addend // 10 + quotient
												else:
																		lowerCamelCase__   =s
																		lowerCamelCase__   =addend // 10

												if addend == 0:
																		break

						while addend > 0:
												lowerCamelCase__   , lowerCamelCase__   =divmod(__lowerCAmelCase  ,       10							)
												digits.append(__lowerCAmelCase							)





def      lowerCamelCase_					(   __lowerCAmelCase = 10**15							)				->   int:




						'''simple docstring'''



						lowerCamelCase__   =[1]
						lowerCamelCase__   =1
						lowerCamelCase__   =0
						while True:
												lowerCamelCase__   , lowerCamelCase__   =next_term(__lowerCAmelCase  ,       20  ,       i + dn  ,       __lowerCAmelCase							)
												dn += terms_jumped
												if dn == n - i:
																		break

						lowerCamelCase__   =0
						for j in range(len(__lowerCAmelCase							)							):
												a_n += digits[j] * 10**j
						return a_n


if __name__ == "__main__":
	print(F'''{solution() = }''')


